首页|基于Bouc-Wen前馈及模糊PID反馈的三层MFC-PBP并联变形翼大位移控制

基于Bouc-Wen前馈及模糊PID反馈的三层MFC-PBP并联变形翼大位移控制

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三层预压缩压电宏纤维复合材料双晶片(MFC-PBP)并联变形翼存在较强的迟滞非线性,严重影响变形控制精度.为了实现对其的精确变形控制,本文提出了以Bouc-Wen逆模型为前馈补偿,以模糊PID作为反馈控制器的三层MFC-PBP并联变形翼的大位移跟踪控制策略.首先,利用遗传算法对Bouc-Wen模型进行参数识别,构建前馈模型并对变形翼进行开环控制;其次,加入模糊PID反馈控制器,得到可以自适应改变PID参数的闭环控制.变形跟踪控制试验结果表明,Bouc-Wen前馈控制的相对误差(RE)约为13.5%,将Bouc-Wen前馈模型与模糊PID结合后控制的相对误差在4%以内,提高了变形控制精度.
Three-layers MFC-PBP Parallel Morphing Wing Large Deflection Control Based on Bouc-Wen Feedforward and Fuzzy PID Feedback
The three-layer macro-fiber composite posted buckled pre-compressed bimorph(MFC-PBP)parallel morphing wing has strong hysteresis nonlinearity,which seriously affects the deformation control accuracy.To realize the precise deformation control,this paper proposes a large-displacement tracking control strategy of three-layer MFC-PBP parallel morphing wing with Bouc-Wen inverse model as feedforward compensation and fuzzy PID as feedback controller.Firstly,genetic algorithm is used to identify the parameters of Bouc-Wen model,then the feedforward model is established and the open-loop control test is carried out for the morphing wing.Secondly,the fuzzy PID feedback controller is added to obtain the closed-loop control which can change the PID parameters adaptively.The test results of deformation tracking control show that the relative error(RE)of Bouc-Wen feedforward control is about 13.5%,the RE of feedforward combined with fuzzy PID is less than 4%,which greatly improves the precision of deformation control.

morphing wingMFC-PBPdeformation controlhysteresis characteristicsBouc-Wen modelfuzzy PID

李兴秋、葛沪建、胡凯明

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中国计量大学,浙江 杭州 310018

变形翼 压电宏纤维复合材料双晶片 变形控制 迟滞特性 Bouc-Wen模型 模糊PID

2024

航空科学技术
中国航空研究院

航空科学技术

影响因子:0.24
ISSN:1007-5453
年,卷(期):2024.35(5)
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